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作 者:牛文静[1] 武新宇[1] 冯仲恺[1] 申建建[1] 程春田[1]
机构地区:[1]大连理工大学水电与水信息研究所,辽宁省大连市116024
出 处:《中国电机工程学报》2017年第11期3139-3147,共9页Proceedings of the CSEE
基 金:国家重点基础研究发展计划项目(973计划)(2013CB035906);国家自然科学基金重大国际合作项目(51210014);国家自然科学基金重大研究计划项目(91547201)~~
摘 要:近些年频发的极端干旱气候条件对特大流域水电系统提出了更精细化的蓄能控制要求。该文考虑蓄能轨迹约束,提出一种基于等蓄能线的梯级水电站群蓄能控制优化调度方法。引入可行域预压缩策略,采用数学组合理论和等蓄能线,依蓄能控制指标建立各时段梯级水库可行水位组合曲面,将蓄能控制下的优化问题转化为无约束问题,并采用动态规划实现高效求解。澜沧江中下游梯级水电站群调度结果表明,通过精细化控制梯级蓄能可以有效提高发电效益,降低供电破坏风险,与常规约束优化方法相比,所提方法高效快速、切实可行。In recent years, extreme drought climate disasters frequently occurred put forward more sophisticated storage energy control requirements for the extra-large hydropower system. To alleviate the problem, the optimal operation method of multi-reservoir system considering the cascade storage energy trajectory constraint was presented. A feasible region precompression strategy and an iso-storage energy line concept were introduced. According to the energy storage control indicators, the surface of feasible water level state combinations was established at each period. In this way, the problem was translated into non-constrained optimization problem and solved by dynamic programming algorithm. Taking cascaded hydropower stations on the Lancang River as the background, the results show that the proposed method can improve power benefit effectively and reduce the risk of power supply damage by controlling the cascade storage energy precisely. Compared with the conventional constrained optimization algorithm, the proposed method is more efficient and feasible.
分 类 号:TM73[电气工程—电力系统及自动化]
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